Data Scientist V Advanced Analytics - 'Mental Health'
Company: Kaiser Permanente
Posted on: May 14, 2022
In addition to the responsibilities listed below, this position is
also responsible for solving complex client analytics problems;
communicating results and methodologies; developing experimental
design approaches; defining validity of information, how long
information is meaningful, and relation to other information;
working with data steward to ensure information is in compliance
with regulatory and security policies; and qualifying where
information can be stored or what information may be used in
support of the use case.
This position is also responsible for utilizing patterns and
variations in the volume, speed and other characteristics of data
supporting an initiative, data type, and speed or sudden variations
in data collection; developing usage and access control policies
and systems in collaboration with the data steward; partnering with
data stewards in continuous improvement processes impacting data;
ensuring the organization understands principles and math behind
the process; and leading on-going tracking and monitoring of
performance of decision systems and statistical models.
- Practices self-leadership and promotes learning in others by
building relationships with cross-functional stakeholders;
communicating information and providing advice to drive projects
forward; influencing team members within assigned unit; listening
and responding to, seeking, and addressing performance feedback;
adapting to competing demands and new responsibilities; providing
feedback to others, including upward feedback to leadership and
mentoring junior team members; creating and executing plans to
capitalize on strengths and develop weaknesses; and adapting to and
learning from change, difficulties, and feedback.
Conducts or oversees business-specific projects by applying deep
expertise in subject area; promoting adherence to all procedures
and policies; developing work plans to meet business priorities and
deadlines; determining and carrying out processes and
methodologies; coordinating and delegating resources to accomplish
organizational goals; partnering internally and externally to make
effective business decisions; solving complex problems; escalating
issues or risks as appropriate; monitoring progress and results;
recognizing and capitalizing on improvement opportunities; and
evaluating recommendations made by others.
Interprets complex data analyses by applying findings to contextual
settings; and developing insights, reports, and presentations
telling a compelling story to stakeholders to enable and influence
decision making; participating in peer reviews; and providing
context related to data interpretations and/or limitations as
Leads the development of advanced analytical and/or statistical
models enabling informed business decisions by determining data and
analytical requirements; translating models and gaining stakeholder
buy-in for implementation; creating complex models leading to
actionable insights; and testing, refining, and validating
Designs, implements, and automates business and reporting solutions
by partnering with stakeholders to advise in their design,
planning, and implementation while ensuring consistency and
coherency; evaluating and summarizing data and results; creating
summary statistics; designing data reports, visualizations, and/or
interactive Business Intelligence (BI) reports; reporting to
stakeholders on key findings; identifying needs for the development
and implementation of additional reporting solutions; and preparing
documentation as appropriate.
Drives the execution of creative data analytic approaches leading
to actionable outcomes across functional areas, business and/or
clinical lines by defining and calculating complex metrics to be
analyzed; defining, calculating, and validating algorithms; and
conducting complex analyses, including descriptive, correlational,
inferential, and/or predictive statistics.
Prepares data for analytic efforts by integrating and consolidating
data; ensuring data quality and accuracy; profiling data
inaccuracies and recommending process improvements or system
changes to enhance overall quality of the data; collaborating with
stakeholders and source system owners to resolve data quality
issues as appropriate; and cleaning and creating final data set(s)
Gathers data and information on targeted variables in an
established systematic fashion by validating data sources;
querying, merging, and extracting data across internal and external
sources; completing routine data refresh and update; developing
and/or delivering complex tools for electronic data collection; and
providing user training, support, and documentation.
Drives strategic data-informed decisions by consulting with clients
and leadership to identify and clarify key business needs across
functional areas, business and/or clinical lines; developing
outcomes and process measures; translating business requirements;
determining data/information needs and data collection methods;
developing complex analysis plans; evaluating the impact of
business decisions on clients, customers, and/or members;
partnering with clients and staff to identify opportunities and
methods to improve efficiencies with analysis; supporting and
training end-users; and documenting processes and deliverables.
- Minimum five (5) years machine learning experience.
- Minimum five (5) years statistical analysis and modeling
- Minimum three (3) years experience working with data
- Minimum five (5) years programming experience.
- Minimum three (3) years experience in a leadership role with or
without direct reports.
- Bachelors degree in Mathematics, Statistics, Engineering,
Social/Physical/Life Science, Business, or related field and
Minimum eight (8) years experience in data analytics or a directly
related field. Additional equivalent work experience in a directly
related field may be substituted for the degree requirement.
- Two (2) years experience delivering presentations to senior
- Three (3) years experience working with SQL.
- Two (2) years health care experience.
- Three (3) years experience working with SAS.
- Three (3) years experience working with statistical analysis
- Two (2) years experience in process improvement.
- Three (3) years experience working with Excel.
PrimaryLocation : California,Oakland,1950 Franklin
HoursPerWeek : 40
Shift : Day
Workdays : Mon, Tue, Wed, Thu, Fri
WorkingHoursStart : 08:00 AM
WorkingHoursEnd : 05:00 PM
Job Schedule : Full-time
Job Type : Standard
Employee Status : Regular
Employee Group/Union Affiliation : NUE-NCAL-09-NUE-Non Union
Job Level : Individual Contributor
Job Category : Data Analytics
Department : Oakland Reg - 1950 Franklin - Mental
Health/Psychiatry-MOC - 0206
Travel : No
Kaiser Permanente is an equal opportunity employer committed to a
diverse and inclusive workforce. Applicants will receive
consideration for employment without regard to race, color,
religion, sex (including pregnancy), age, sexual orientation,
national origin, marital status, parental status, ancestry,
disability, gender identity, veteran status, genetic information,
other distinguishing characteristics of diversity and inclusion, or
any other protected status.
Keywords: Kaiser Permanente, Oakland , Data Scientist V Advanced Analytics - 'Mental Health', Healthcare , Oakland, California
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